<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/CC8F5A86-8281-4D61-A188-C4B46A926D34"><efrbr-work:titleOfTheWork>Feature analysis on river flow video data for floating tracers detection</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/CC8F5A86-8281-4D61-A188-C4B46A926D34"><efrbr-expression:titleOfTheExpression>Feature analysis on river flow video data for floating tracers detection</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Πλήρης Δημοσίευση σε Συνέδριο
            Conference Full Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-10-25</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2014</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>This study focuses on a significant water quality problem that can be posed as the calculation of the distribution of suspended sediments in rivers. More specifically, we propose a method that performs tracking and motion estimation on river floating sediment tracers. The current work analyzes a river flow video sequence and isolates the sediment information in order to determine the temporal extend of the suspended sediment distribution. The method is based on a combination of image processing techniques and is performed through hue and intensity analysis. The results present the river sediment tracers isolated from the river water flow and the river background as well as the river floating tracers velocity vector field.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">287-292</efrbr-expression:note><efrbr-expression:note type="conference name">International Conference on Imaging Systems and Techniques (IST)</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="63FEF792-2948-4685-AC07-85761299600C"><efrbr-person:nameOfPerson vocabulary="">
            Anastasia Pentari
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="909BE9FF-02E7-4FEE-B97E-70B133D8B033"><efrbr-person:nameOfPerson vocabulary="">
             Konstantia Moirogiorgou
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            Dimitra Iliopoulou
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            Livanos, Georges
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            Zervakis Michalis
            Ζερβακης Μιχαλης
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            Water quality--Management
            Water quality control
            water quality management
            water quality control
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